AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 368 · 40 questions

AI tip (Name the idea, then answer): Learning from examples → AI; fixed rules → a normal program. Order: training data → model → prediction; good data is many, varied and correctly labelled. Generative AI makes new things and can hallucinate; one-sided data causes bias.

1. 1.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) not spam (b) spam
2. 2.Which of these describes how AI works? (a) handles unseen examples (b) same steps every time (c) uses rules people wrote (d) never learns from data
3. 3.🛠️ What helps make an AI system fairer? (a) fewer tests (b) ignoring mistakes (c) one group only (d) more varied data
4. 4.✅ Is this a real check of an AI answer: it answered quickly? (a) a real check (b) not a real check
5. 5.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
6. 6.Which of these is training data? (a) what training builds (b) the learned patterns (c) recorded spoken words (d) flagging a new email
7. 7.🧪 Why test a model on NEW examples? (a) to see if it works (b) to delete its data (c) to make it slower (d) to change its name
8. 8.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) bias from data (c) a broken screen (d) a fair model
9. 9.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) model, prediction, data (d) data, model, prediction
10. 10.✍️ How does an AI chatbot write its replies? (a) asks a person (b) copies one website (c) uses magic (d) predicts likely words
11. 11.🔦 Is a torch with an on/off switch AI? (a) only if it is bright (b) no (c) yes
12. 12.True or false: “see if the book exists” is a real way to check an AI answer. (a) True (b) False
13. 13.🔍 Which is the odd one out? (a) AI copies data patterns (b) AI is never wrong (c) AI always checks facts (d) long answers are true
14. 14.Which of these is bad for training a model? (a) correct labels (b) photos in many lights (c) examples of every type (d) labels added at random
15. 15.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
16. 16.Which of these is good for training a model? (a) only one kind of example (b) blurry, unclear photos (c) correct labels (d) wrong labels
17. 17.📱 What is the AI doing here: a music app suggesting a song you may like? (a) predicting (b) generating (c) recognising (d) recommending
18. 18.🧐 Fact or myth: “AI can make up facts”? (a) a fact (b) a myth
19. 19.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) singing (b) drawing (c) predicting (d) sleeping
20. 20.Which of these describes how AI works? (a) same steps every time (b) uses rules people wrote (c) one set rule per case (d) makes a best guess
21. 21.🧐 Fact or myth: “AI is never wrong”? (a) a myth (b) a fact
22. 22.🎨 This prompt asks a generative AI for: five quiz questions on fractions. What kind of output is that? (a) an image (b) music or sound (c) text
23. 23.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) False (b) True
24. 24.📚 An AI chatbot names a book that does not exist. This is called… (a) a password (b) a hallucination (c) a backup (d) a summary
25. 25.Which of these is good for training a model? (a) labels added at random (b) new data for testing (c) blurry, unclear photos (d) very few examples
26. 26.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
27. 27.True or false: “five quiz questions on fractions” asks for an image. (a) False (b) True
28. 28.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
29. 29.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
30. 30.🤖 Does an AI system think and feel like a person? (a) yes, it gets sad (b) no, it finds patterns (c) only on weekends (d) yes, just like us
31. 31.Which of these is not AI? (a) an image generator (b) a light switch (c) photos grouped by face (d) an AI chatbot
32. 32.Which of these adds to bias? (a) ask different people (b) fix wrong labels (c) skip testing (d) test on many groups
33. 33.Which of these is training data? (a) tomorrow’s rain guess (b) the learned patterns (c) naming a new fruit photo (d) labelled fruit photos
34. 34.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
35. 35.True or false: “a drawing of a cat on the Moon” asks for an image. (a) False (b) True
36. 36.Which of these is a myth about AI? (a) confident means correct (b) AI can be wrong (c) AI can make up facts (d) AI learns from data
37. 37.🎨 This prompt asks a generative AI for: rain sound effects for a play. What kind of output is that? (a) an image (b) music or sound (c) text
38. 38.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
39. 39.🔍 Which is the odd one out? (a) labels added at random (b) testing on training data (c) wrong labels (d) correct labels
40. 40.🏠 AI or not AI: an image generator? (a) uses AI (b) not AI

Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students